28 citations · 37 across the 7 of their papers we have counts for
7 papers
Unsupervised Human Activity Recognition through Two-stage Prompting with ChatGPT
Qingxin Xia, Takuya Maekawa, Takahiro Hara
Wearable sensor devices, which offer the advantage of recording daily objects used by a person while performing an activity, enable the feasibility of unsupervised Human Activity R…
OpenPack: A Large-scale Dataset for Recognizing Packaging Works in IoT-enabled Logistic Environments
Naoya Yoshimura, Jaime Morales, Takuya Maekawa +1
Unlike human daily activities, existing publicly available sensor datasets for work activity recognition in industrial domains are limited by difficulties in collecting realistic d…
Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations
Zhi Li, Daichi Amagata, Yihong Zhang +4
Deep learning-based recommender systems may lead to over-fitting when lacking training interaction data. This over-fitting significantly degrades recommendation performances. To ad…
Learned k-NN Distance Estimation
Daichi Amagata, Yusuke Arai, Sumio Fujita +1
Big data mining is well known to be an important task for data science, because it can provide useful observations and new knowledge hidden in given large datasets. Proximity-based…
Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach
Daichi Amagata, Makoto Onizuka, Takahiro Hara
Distance-based outlier detection is widely adopted in many fields, e.g., data mining and machine learning, because it is unsupervised, can be employed in a generic metric space, an…
A General Method for Event Detection on Social Media
Yihong Zhang, Masumi Shirakawa, Takahiro Hara
Event detection on social media has attracted a number of researches, given the recent availability of large volumes of social media discussions. Previous works on social media eve…
Distributed Spatial-Keyword kNN Monitoring for Location-aware Pub/Sub
Shohei Tsuruoka, Daichi Amagata, Shunya Nishio +1
Recent applications employ publish/subscribe (Pub/Sub) systems so that publishers can easily receive attentions of customers and subscribers can monitor useful information generate…